Broadcom unveils training push for VMware Explore 2026, targeting skills for private AI cloud deployments

Broadcom said it is expanding VMware Explore 2026 around practical training for IT teams, positioning the event as preparation for what it calls the “private AI cloud era.” In an announcement carried by Yahoo Finance on August 17, Broadcom said VMware Explore 2026 will feature technical sessions, hands-on labs and certification opportunities intended to help practitioners apply skills directly to real-world deployments.

The announcement frames the content as a response to a shift in how companies are approaching AI infrastructure. Rather than treating AI as a standalone experiment, Broadcom’s messaging suggests that more organizations want to run AI workloads inside their own or dedicated cloud environments, where they can manage data access, security controls and operational requirements.

Within that framing, the event’s structure is meant to move beyond classroom-style learning. Broadcom said the program will include labs, which typically means guided, interactive exercises that let attendees work with technologies during the event. It also said the agenda will include certification-related elements, underscoring that the company wants attendees to leave with credentials tied to the training.

Broadcom did not, in the announcement published by Yahoo Finance, spell out the level of technical detail, the specific topics covered in the sessions and labs, or the exact certification tracks that would be available. It also did not provide specifics in the post about any agenda timing, venue details, or whether the event elements would be delivered only in person or through hybrid formats.

Still, the emphasis on sessions, labs and certification aligns with a familiar enterprise software playbook: large infrastructure vendors often use conferences not only to demonstrate platforms but also to help customers and partners operationalize them. In Broadcom’s case, the messaging ties the training directly to AI-focused infrastructure needs, indicating an intent to prepare IT practitioners to deploy and manage private, controlled environments for AI workloads.

For the technology sector, the announcement reflects the broader competition to own the “how” of enterprise AI adoption, not just the “what.” As companies evaluate private AI architectures, they generally need operational know-how across deployment, performance tuning, security and lifecycle management. Events that offer lab-based training and certification can reduce the gap between a vendor’s products and an organization’s ability to run them effectively.